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基于 N 线 phantom 的共面约束超声探头校准。

Coplanarity Constrained Ultrasound Probe Calibration Based on N-Wire Phantom.

机构信息

School of Mathematical Sciences, Zhejiang University, Hangzhou, China.

Fifth Medical Center, Chinese PLA General Hospital, Beijing, China; Chinese PLA Medical School, Beijing, China.

出版信息

Ultrasound Med Biol. 2023 Oct;49(10):2316-2324. doi: 10.1016/j.ultrasmedbio.2023.05.015. Epub 2023 Aug 3.

Abstract

OBJECTIVE

N-wire phantom-based ultrasound probe calibration has been used widely in many freehand tracked ultrasound imaging systems. The calibration matrix is obtained by registering the coplanar point cloud in ultrasound space and non-coplanar point cloud in tracking sensor space based on the least squares method. This method is sensitive to outliers and loses the coplanar information of the fiducial points. In this article, we describe a coplanarity-constrained calibration algorithm focusing on these issues.

METHODS

We verified that the out-of-plane error along the oblique wire in the N-wire phantom followed a normal distribution and used it to remove the experimental outliers and fit the plane with the Levenberg-Marquardt algorithm. Then, we projected the points to the plane along the oblique wire. Coplanarity-constrained point cloud registration was used to calculate the transformation matrix.

RESULTS

Compared with the other two commonly used methods, our method had the best calibration precision and achieved 25% and 36% improvement of the mean calibration accuracy than the closed-form solution and in-plane error method respectively at depth 16. Experiments at different depths revealed that our algorithm had better performance in our setup.

CONCLUSION

Our proposed coplanarity-constrained calibration algorithm achieved significant improvement in both precision and accuracy compared with existing algorithms with the same N-wire phantom. It is expected that calibration accuracy will improve when the algorithm is applied to all other N-wire phantom-based calibration procedures.

摘要

目的

基于 N 线 phantom 的超声探头校准已广泛应用于许多自由手跟踪超声成像系统中。校准矩阵是通过基于最小二乘法在超声空间中的共面点云和跟踪传感器空间中的非共面点云进行配准获得的。该方法对异常值敏感,并且丢失了基准点的共面信息。在本文中,我们描述了一种关注这些问题的共面性约束校准算法。

方法

我们验证了 N 线 phantom 中沿斜丝的离面误差服从正态分布,并使用它来剔除实验异常值,并使用 Levenberg-Marquardt 算法拟合平面。然后,我们沿斜丝将点投影到平面上。共面性约束点云配准用于计算变换矩阵。

结果

与另外两种常用方法相比,我们的方法具有最佳的校准精度,在深度为 16 时,与封闭解和平面内误差方法相比,平均校准精度分别提高了 25%和 36%。在不同深度的实验表明,我们的算法在我们的设置中具有更好的性能。

结论

与现有算法相比,我们提出的共面性约束校准算法在精度和准确性方面都有显著提高,使用相同的 N 线 phantom。预计当该算法应用于所有其他基于 N 线 phantom 的校准程序时,校准精度将会提高。

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